A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing

Benjamin Aziz; Aysha Abdulmonem Abdulla Erhama Bukhelli; Rinat Khusainov; Alaa Mohasseb

doi:10.5220/0011384200003283

A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing

Benjamin Aziz, Aysha Abdulmonem Abdulla Erhama Bukhelli, Rinat Khusainov, Alaa Mohasseb

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

76 Downloads (Pure)

Abstract

The ancient technique of information hiding known as text steganography has enjoyed much research in recent years due to the rising popularity of social media platforms and the abundant availability of online literature and other text as cover media for steganography. Whilst the majority of the research approaches have focused on manipulating or replacing text, in some form or another, to embed secret information, the utilisation of the structure of the document itself for such embedding has rarely been researched. Therefore, we propose in this short paper a new approach for embedding secret messages in textual documents based on the splitting, merging, and resizing of paragraph text. The size comparison between adjacent paragraphs embeds one bit of information. We outline only the basic idea and define the syntax and semantics of the embedding language.

Original language	English
Title of host publication	Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022)
Publisher	SciTePress
Pages	714-719
Number of pages	6
ISBN (Print)	9789897585906
DOIs	https://doi.org/10.5220/0011384200003283
Publication status	Published - 13 Jul 2022
Event	19th International Conference on Security and Cryptography - Lisbon, Portugal Duration: 11 Jul 2022 → 13 Jul 2022 http://secrypt.scitevents.org

Publication series

Name	SECRYPT Conference Proceedings
Volume	1
ISSN (Print)	2184-7711

Conference

Conference	19th International Conference on Security and Cryptography
Abbreviated title	SECRYPT 2022
Country/Territory	Portugal
City	Lisbon
Period	11/07/22 → 13/07/22
Internet address	http://secrypt.scitevents.org

Keywords

formal methods
linguistic steganography
information hiding
lexical steganography
text steganography

Access to Document

10.5220/0011384200003283

Secrypt2022
Aziz, B.; Bukhelli, A.; Khusainov, R. and Mohasseb, A. (2022). A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing. In Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT, ISBN 978-989-758-590-6; ISSN 2184-7711, pages 714-719. DOI: 10.5220/0011384200003283. © 2022 SciTePress, Science and Technology Publications, Lda - All rights reserved.
Accepted author manuscript (Post-print), 252 KB

https://secrypt.scitevents.org/

Cite this

Aziz, B., Bukhelli, A. A. A. E., Khusainov, R., & Mohasseb, A. (2022). A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing. In Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022) (pp. 714-719). (SECRYPT Conference Proceedings; Vol. 1). SciTePress. https://doi.org/10.5220/0011384200003283

@inproceedings{7769ee8479ff4b50924867eb2f491359,

title = "A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing",

abstract = "The ancient technique of information hiding known as text steganography has enjoyed much research in recent years due to the rising popularity of social media platforms and the abundant availability of online literature and other text as cover media for steganography. Whilst the majority of the research approaches have focused on manipulating or replacing text, in some form or another, to embed secret information, the utilisation of the structure of the document itself for such embedding has rarely been researched. Therefore, we propose in this short paper a new approach for embedding secret messages in textual documents based on the splitting, merging, and resizing of paragraph text. The size comparison between adjacent paragraphs embeds one bit of information. We outline only the basic idea and define the syntax and semantics of the embedding language.",

keywords = "formal methods, linguistic steganography, information hiding, lexical steganography, text steganography",

author = "Benjamin Aziz and Bukhelli, {Aysha Abdulmonem Abdulla Erhama} and Rinat Khusainov and Alaa Mohasseb",

note = "No embargo. Full cite with DOI link; 19th International Conference on Security and Cryptography, SECRYPT 2022 ; Conference date: 11-07-2022 Through 13-07-2022",

year = "2022",

month = jul,

day = "13",

doi = "10.5220/0011384200003283",

language = "English",

isbn = "9789897585906",

series = "SECRYPT Conference Proceedings",

publisher = "SciTePress",

pages = "714--719",

booktitle = "Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022)",

url = "http://secrypt.scitevents.org",

}

Aziz, B, Bukhelli, AAAE, Khusainov, R & Mohasseb, A 2022, A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing. in Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022). SECRYPT Conference Proceedings, vol. 1, SciTePress, pp. 714-719, 19th International Conference on Security and Cryptography, Lisbon, Portugal, 11/07/22. https://doi.org/10.5220/0011384200003283

A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing. / Aziz, Benjamin; Bukhelli, Aysha Abdulmonem Abdulla Erhama; Khusainov, Rinat et al.
Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022). SciTePress, 2022. p. 714-719 (SECRYPT Conference Proceedings; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing

AU - Aziz, Benjamin

AU - Bukhelli, Aysha Abdulmonem Abdulla Erhama

AU - Khusainov, Rinat

AU - Mohasseb, Alaa

N1 - No embargo. Full cite with DOI link

PY - 2022/7/13

Y1 - 2022/7/13

N2 - The ancient technique of information hiding known as text steganography has enjoyed much research in recent years due to the rising popularity of social media platforms and the abundant availability of online literature and other text as cover media for steganography. Whilst the majority of the research approaches have focused on manipulating or replacing text, in some form or another, to embed secret information, the utilisation of the structure of the document itself for such embedding has rarely been researched. Therefore, we propose in this short paper a new approach for embedding secret messages in textual documents based on the splitting, merging, and resizing of paragraph text. The size comparison between adjacent paragraphs embeds one bit of information. We outline only the basic idea and define the syntax and semantics of the embedding language.

AB - The ancient technique of information hiding known as text steganography has enjoyed much research in recent years due to the rising popularity of social media platforms and the abundant availability of online literature and other text as cover media for steganography. Whilst the majority of the research approaches have focused on manipulating or replacing text, in some form or another, to embed secret information, the utilisation of the structure of the document itself for such embedding has rarely been researched. Therefore, we propose in this short paper a new approach for embedding secret messages in textual documents based on the splitting, merging, and resizing of paragraph text. The size comparison between adjacent paragraphs embeds one bit of information. We outline only the basic idea and define the syntax and semantics of the embedding language.

KW - formal methods

KW - linguistic steganography

KW - information hiding

KW - lexical steganography

KW - text steganography

U2 - 10.5220/0011384200003283

DO - 10.5220/0011384200003283

M3 - Conference contribution

SN - 9789897585906

T3 - SECRYPT Conference Proceedings

SP - 714

EP - 719

BT - Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022)

PB - SciTePress

T2 - 19th International Conference on Security and Cryptography

Y2 - 11 July 2022 through 13 July 2022

ER -

A novel method for embedding and extracting secret messages in textual documents based on paragraph resizing

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this